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Chemical Similarity Searching
Author(s) -
Peter Willett,
John M. Barnard,
Geoffrey M. Downs
Publication year - 1998
Publication title -
journal of chemical information and computer sciences
Language(s) - English
Resource type - Journals
eISSN - 1520-5142
pISSN - 0095-2338
DOI - 10.1021/ci9800211
Subject(s) - similarity (geometry) , similarity measure , substructure , measure (data warehouse) , computer science , structural similarity , chemical similarity , information retrieval , data mining , artificial intelligence , image (mathematics) , engineering , structural engineering
This paper reviews the use of similarity searching in chemical databases. It begins by introducing the concept of similarity searching, differentiating it from the more common substructure searching, and then discusses the current generation of fragment-based measures that are used for searching chemical structure databases. The next sections focus upon two of the principal characteristics of a similarity measure:  the coefficient that is used to quantify the degree of structural resemblance between pairs of molecules and the structural representations that are used to characterize molecules that are being compared in a similarity calculation. New types of similarity measure are then compared with current approaches, and examples are given of several applications that are related to similarity searching.

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